Principal Machine Learning Engineer
Core
Define and own the technical architecture and strategic direction of the News & Entertainment (N&E) ML Platform, driving step-function improvements in personalization, recommendation systems, and ML infrastructure for Disney's media portfolio.
Role type
Principal Machine Learning Engineer (Strategy & Architecture)
Builds
End-to-end ML platforms, data pipelines, feature stores, and low-latency serving infrastructure for personalized content delivery.
Domain
Media & Entertainment / Machine Learning / Recommendation Systems
Deliverable
production ML models | infrastructure
Required skills
Deep learning algorithms, data pipeline design, feature store architecture, cloud infrastructure (AWS), big data technologies (Databricks, Spark, Kafka), incident response, metrics-driven leadership, cross-org standards setting
Preferred skills
LLMs, RAGs, object detection, autogenerated content tagging, REST microservices
Technologies
AWS (Step Functions, Lambda, Glue, SQS, SNS, Personalize), Databricks, Spark, Kinesis, Kafka
Responsibilities
Define end-to-end architecture for the N&E ML platform; Identify and prioritize high-impact ML workstreams; Drive design and evolution of ML infrastructure; Champion adoption of new ML technologies; Own production incidents and reliability programs; Mentor senior engineers and drive technical culture
Seniority
Principal, strategy & mentorship